Skip to main content

Using LIKE for Pattern Matching



Operators such as = and != are useful for finding values that are equal to or not equal to a specific exact comparison value. When it's necessary to find values based on similarity instead, a pattern match is useful. To perform a pattern match, use value LIKE 'pattern', where value is the value to test and 'pattern' is a pattern string that describes the general form of values to match.
Patterns used with the LIKE pattern-matching operator can contain two special characters (called “metacharacters” or “wildcards”) that stand for something other than themselves:

• Percent (%) Character - The percent character matches any sequence of zero or more characters.For example, the pattern 'a%' matches any string that begins with 'a', '%b' matches any string that ends with 'b', and '%c%' matches any string that contains a 'c'. The pattern '%' matches any string, including empty strings.

• Underscore ( '_' ) Character - The underscore character matches any single character. 'd_g'
matches strings such as 'dig', 'dog', and 'd@g'. Because '_' matches any single character, it
matches itself and the pattern 'd_g' also matches the string 'd_g'.A pattern can use these metacharacters in combination. For example, '_%' matches any string containing at least one character.

For example, to list all countries with names that start with 'United';

mysql> SELECT Name FROM Country
-> WHERE Name LIKE 'United%';
+-------------------------------------------------+
| Name                                                    |
+-------------------------------------------------+
| United Arab Emirates                          |
| United Kingdom                                   |
| United States Minor Outlying Islands |
| United States                                        |
+-------------------------------------------------+

To invert a pattern match, use NOT LIKE rather than LIKE:
mysql> SELECT Name FROM Country
-> WHERE Name NOT LIKE 'United%';
+----------------------------------------------+
| Name                                                |
+----------------------------------------------+
| Aruba                                                | 
| Afghanistan                                      |
| Angola                                              |
...
| South Africa                                     |
| Zambia                                             |
| Zimbabwe                                        |
+----------------------------------------------+
235 rows in set (#.## sec)
Note: The NOT LIKE results in a list which is 4 short of the total Country list (239), since the specified pattern matched items have been left out.

Comments

Popular posts from this blog

PHP INTRODUCTION

                     PHP  (recursive acronym for  PHP: Hypertext Preprocessor ) is a widely-used open source general-purpose scripting language that is especially suited for web development and can be embedded into HTML. PHP stands for  P HP:  H ypertext  P reprocessor PHP is a server-side scripting language, like ASP PHP scripts are executed on the server PHP supports many databases (MySQL, Informix, Oracle, Sybase, Solid, PostgreSQL, Generic ODBC, etc.) PHP is an open source software PHP is free to download and use Why PHP? PHP runs on different platforms (Windows, Linux, Unix, etc.) PHP is compatible with almost all servers used today (Apache, IIS, etc.) PHP is FREE to download from the official PHP resource:  www.php.net PHP is easy to learn and runs efficiently on the server side What can PHP do? Anything. PHP is mainly focused on server-side scripting, so you can...

SQL Joins

1. Login in to the mysql client using the login name and password provided by your instructor (if not already logged in). 2. View the existing databases that the MySQL Server is maintaining. SHOW DATABASES; 3. Utilize the photo_album database. USE photo_album; ---- If Need be, recreate the database and load the SQL data in that will be used for this lab CREATE DATABASE photo_album; SOURCE /tmp/photo_album.sql; 4. Query the database to display the active primary customer (email, first and last name) and all the associated active login names associated with that customer. SELECT customers.email_customer, customers.fname, customers.lname, logins.login_name  FROM customers, logins WHERE customers.email_customer = logins.email_customer  AND customers.active_customer = 'True'  AND logins.active_login = 'True';

Storage Engine Breakdown

The following diagram represents a simplified view of the MySQL server and its interaction with the  storage engines. The following properties are storage engine dependant: • Storage Medium – Each table uses its own method of storing the data it contains. • Transactional Capabilities – Certain storage engines handle transactional processing which ensures that integrity of a database is maintained during the processing of multiple SQL statements.